"Big Data" is the latest buzzword, yet over 70% of companies don't know what Big Data means and how to solve the data management challenges, finds LogLogic survey.

IANS CUSTOM RESEARCH AND INFORMATION SECURITY INVESTMENT ANALYSIS (ISIA) REPORT on Log data management and compliance products

Garnering critical IT insight helps organizations and individuals make the right decisions to better serve customers, partners, regulatory bodies and internal employees and answer many important business challenges. This whitepaper describes LogLogic's philosophy and evolution of IT Data Management.

This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.

Enterprise Hadoop Implementation with Teradata and Hortonworks

Big Data analytics are a top priority at many companies today. Most hope to derive new insights from all available data to improve productivity, cut costs, reduce churn, enhance the customer experience, and seize new business opportunities.

This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.

It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.

Learn how BMC Control-M for for Hadoop allows IT to extract value from big data, with clear visibility, predictability and increased productivity and efficiency.

"In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include: • How to ensure that your Big Data projects will drive clearly defined business value • The operational challenges each Big Data initiative must address • The importance of using an enterprise approach for Hadoop batch processing

This paper, "Workload Automation – From Application Development to Digital Service Delivery," describes how a workload automation solution can eliminate the manual processes developers now use to define batch workflows and communicate them to schedulers.By extending the use of workload automation to developers, organizations can implement applications faster, slash costs, and increase service quality.

Recruiters need to harness the power of social media, mobile tools, and the potential of Big Data to transform the recruiting process. Download our presentation “A Futurist's Perspective on Talent Acquisition and Tomorrow's Tech Trends.”

Big data into manageable components.

A step-by-step guide for adopting software-defined storage as part of a practical, proactive strategy for managing enterprise data. Flexibility is inherent in this technology, and now more than ever, a flexible IT architecture might be the key to facing the once unthinkable challenges of big data.

By 2020 the digital universe – the data we create and manage annually – will reach 44 zettabytes, or 44 trillion gigabytes! 1 This growth has ushered in a new era of big data, and introduces challenges and opportunities to small and medium businesses trying to economically make sense of it. On the upside, more data means more opportunity for businesses (and consumers) to use data in new ways – learning more about customers, speeding business cycles, and improving the efficacy of business workflows

Data is the foundation of the digital economy, but managing data growth poses a big challenge as organizations ramp up cloud adoption. Whether your organization is adopting a hybrid cloud strategy or building modern apps in the cloud, there are many challenges that can limit your effectiveness. With Isilon CloudPools and ECS, you can take advantage of cloud capabilities without a disruptive time-consuming migration of your data. In this webinar, we’ll discuss how Dell EMC puts you in control with a flexible cloud design, allowing you to take an application-centric approach to your data platform.

While software is essential to any big data strategy, it is not enough. Organizations must transform their infrastructure based on innovation in storage and memory to align with the increased need for faster, real-time decisions. Download this white paper to learn more.

Un réseau de centre de données évolutif pour se préparer au tsunami du Big Data

Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. • Why data encryption is often easier to adopt as part of a cloud initiative • What top security threat you are less susceptible to on personal devices • How to manage device updates and passwords for the greatest protection

Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. • Why data encryption is often easier to adopt as part of a cloud initiative • What top security threat you are less susceptible to on personal devices • How to manage device updates and passwords for the greatest protection

The Digital Marketing Maturity Guide helps organizations determine the level of sophistication within their digital marketing operations. Dimensional Research to conducted a global survey of 700 marketing professionals gauging the level of digital marketing maturity across various verticals and company sizes. Use these findings to benchmark your organization against other groups.

In the new age of big data, applications are leveraging large farms of powerful servers and extremely fast networks to access petabytes of data served for everything from data analytics to scientific discovery to movie rendering. These new applications demand fast and efficient storage, which legacy solutions are no longer capable of providing.

The evolution of genomics in recent decades has seen the volume of sequencing rise dramatically as a result of lower costs. Massive growth in the quantities of data created by sequencing has greatly increased analytical challenges, and placed ever-increasing demands on compute and storage infrastructure. Researchers have leveraged high-performance computing environments and cluster computing to meet demands, but today even the fastest compute environments are constrained by the lagging performance of underlying storage.

Not long ago, the biggest concern for IT decision makers considering moving workloads to the cloud was security. That’s no longer the case. Today, the main obstacle to cloud adoption is different but familiar: the pain of migrating data. Traditional data migration causes major headaches: • Hours or days of downtime while servers replicate and stakeholders verify functionality • Data loss and migration failures due to inadequate tools and inability to test • Key internal resources diverted from strategic initiatives

Da Kunden heute zunehmend digital vernetzt und Big Data auf dem Vormarsch sind, wird ein herausragender und personalisierter Kundenservice immer wichtiger. Der Kundenservice ist das entscheidende Alleinstellungsmerkmal, das den größten Einfluss auf Kundenentscheidungen und somit Ihren Umsatz hat.